liveBook · Manning

Itertuples

As explained in Fast Python: High performance techniques for large datasets

itertuples is a pandas DataFrame method that yields each row as a tuple, optionally including the row index.

itertuples yields one tuple per DataFrame row, providing a familiar loop while avoiding the slower explicit and iterrows-based approaches. section 7.2.2

Use itertuples as a transitional optimization when row-wise iteration remains necessary:

  • Access fields through tuple attributes such as my_tuple.tip_amount and my_tuple.total_amount. section 7.2.2
  • Benchmark it against apply, vectorization, and alternative access patterns because pandas versions can change performance relationships. section 7.2.2
  • Prefer vectorization for medium-term pandas practice rather than treating itertuples as the final optimization. section 7.2.2
def get_tip_mean_itertuples(df):
    all_tips = 0
    all_totals = 0
    for my_tuple in df.itertuples():
        all_tips += my_tuple.tip_amount
        all_totals += my_tuple.total_amount
    return all_tips / all_totals

Computes a tip-to-total mean by iterating through rows as named tuples. section 7.2.2

How Fast Python: High performance techniques for large datasets covers it

How deep it goes
Compares explicit loops, iterrows, itertuples, apply, and vectorization using measured runtimes.
Examples
Calculates a taxi tip-to-total mean from sampled trip data using tuple field access.
What you can do after
Apply it via pandas to implement faster row-wise calculations and benchmark them against alternatives.
How it connects
Connects pandas DataFrames with iterrows, apply, vectorization, and NumPy-oriented optimization.
Cover of Fast Python: High performance techniques for large datasets
liveBookmanning.com
Read Fast Python: High performance techniques for large datasets on liveBook Get the book at manning.com

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Fast Python: High performance techniques for large datasets. The section links point to the parts of the book it draws on.